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  • Book
    Devendra K. Choudhary, Manoj Kumar, Ram Prasad, Vivek Kumar, editors.
    Summary: This book explores the role of in silico deployment in connection with modulation techniques for improving sustainability and competitiveness in the agri-food sector; pharmacokinetics and molecular docking studies of plant-derived natural compounds; and their potential anti-neurodegenerative activity. It also investigates biochemical pathways for bacterial metabolite synthesis, fungal diversity and plant-fungi interaction in plant diseases, methods for predicting disease-resistant candidate genes in plants, and genes-to-metabolites and metabolites-to-genes approaches for predicting biosynthetic pathways in microbes for natural product discovery. The respective chapters elaborate on the use of in situ methods to study biochemical pathways for bacterial metabolite synthesis; tools for plant metabolites in defence; plant secondary metabolites in defence; plant growth metabolites; characterisation of plant metabolites; and identification of plant derived metabolites in the context of plant defence. The book offers an unprecedented resource, highlighting state-of-the-art research work that will greatly benefit researchers and students alike, not only in the field of agriculture but also in many disciplines in the life sciences and plant sciences.

    Contents:
    About the Editors;
    Chapter 1: Genes to Metabolites and Metabolites to Genes Approaches to Predict Biosynthetic Pathways in Microbes for Natural P ... ; 1.1 Introduction; 1.2 Why Microbial Secondary Metabolites Are Needed?; 1.3 Genome-Based Mining Strategies; 1.4 Retrograde Pathway Evolution; 1.5 Pathway Evolution Through Retrobiosynthesis and Retrosynthetic Designs; 1.6 Genome-Based Mining Tools for Genes to Metabolites (Forward) Approach; 1.7 Databases Dedicated to Secondary Metabolite Biosynthetic Gene Clusters Intro; Preface; For Gram +ve Bacterium; PCR Amplification of 16S Ribosomal RNA Gene; PCR Product Purification and Sequencing; 16S rRNA Gene Sequence Homology and Phylogeny Analysis; Sequence Submission and Culture Deposition; Molecular Characterization of Plant Growth Promoting Bacterium and Phylogeny Analysis; Evolutionary Relationships of Bacillus sp. SJ-5; Molecular Characterization of Plant Growth Promoting Properties of Bacteria; For Grame -ve Bacterium; Gene Amplification; Gene Sequencing and Analysis; Phylogeny Based on 16 rRNA Gene Analyses; Phylogeny Analysis of PGP Properties Genes 1.8 Genome-Based Mining Tools for Metabolites to Genes (Retrosynthetic) Approach1.9 Concluding Remarks; References;
    Chapter 2: Role of Functional Bacterial Phylum Proteobacteria in Glycine max Growth Promotion Under Abiotic Stress: A Glimpse ... ; 2.1 Introduction; 2.2 Soybean Numero Uno Crop; 2.2.1 Selection and Characterization of PGPR Strains; 2.2.2 PGPR Characteristics: Case Studies; 2.2.2.1 Qualitative and Quantitative Estimation of Phosphate Solubilization Under Salt; 2.2.2.2 ACC Deaminase Activity in Different Salt Concentrations 2.2.2.3 Proline Determination in Different Salt Concentrations2.2.2.4 Exopolysaccharide Production; 2.2.2.5 Molecular Characterization of Genes in Bacteria; 2.2.3 Sterilization and Viability and Seed Sensitivity; 2.2.4 Standardization for Bacterial Inoculums; 2.2.4.1 Bacterial Growth Under Stress Conditions; 2.2.5 PGP Traits; 2.2.5.1 IAA Production on Different Salt Concentration; 2.2.5.2 Phosphate Solubilization on Different Salt Concentration; 2.2.5.3 Siderophore Production on Different Salt Concentration; 2.2.5.4 ACC Deaminase Activity on Different Salt Concentration 2.2.5.5 EPS Production on Different Salt Stress 2.2.5.6 Phylogeny Analysis of PGP Gene Properties; References;
    Chapter 3: Methanogenic Archaea in Paddy Agricultural Fields; 3.1 Introduction; 3.2 Materials and Methods; 3.2.1 Experimental Site and Soil Sampling; 3.2.2 Soil Physicochemical Analyses; 3.2.3 Methane Production Potential of Soil; 3.2.4 Kinetics of Methane Production; 3.2.5 PCR-Cloning-RFLP Analysis, Sequencing, and Assignment of Clones into OTUs; 3.2.6 Nucleotide Sequence Accession Numbers; 3.2.7 Diversity Indices; 3.3 Results and Discussion
    Digital Access Springer 2018